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Property Based Formal Security Verification for Hardware Trojan Detection

机译:用于硬件木马检测的基于属性的形式安全验证

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The design of modern computer hardware heavily relies on third-party intellectual property (IP) cores, which may contain malicious hardware Trojans that could be exploited by an adversary to leak secret information or take control of the system. Existing hardware Trojan detection methods either require a golden reference design for comparison or extensive functional testing to identify suspicious signals. In this paper, we propose a new formal verification method to verify the security of hardware designs. The proposed solution formalizes fine grained gate level information flow model for proving security properties of hardware designs in the Coq theorem prover environment. Compare with existing register transfer level (RTL) information flow security models, our model only needs to translate a small number of logic primitives to their formal representations without the need of supporting the rich RTL HDL semantics or dealing with complex conditional branch or loop structures. As a result, a gate level information flow model can be created at much lower complexity while achieving significantly higher precision in modeling the security behavior of hardware designs. We use the AES-T1700 benchmark from Trust-HUB to demonstrate the effectiveness of our solution. Experimental results show that our method can detect and pinpoint the Trojan.
机译:现代计算机硬件的设计在很大程度上依赖于第三方知识产权(IP)内核,该内核可能包含恶意硬件木马,这些恶意木马可能被攻击者利用以泄露秘密信息或控制系统。现有的硬件木马检测方法要么需要黄金参考设计进行比较,要么需要进行广泛的功能测试以识别可疑信号。在本文中,我们提出了一种新的形式验证方法来验证硬件设计的安全性。提出的解决方案形式化了细粒度的门级信息流模型,以证明Coq定理证明者环境中硬件设计的安全性。与现有的寄存器传输级别(RTL)信息流安全模型相比,我们的模型仅需要将少量逻辑原语转换为其形式表示,而无需支持丰富的RTL HDL语义或处理复杂的条件分支或循环结构。结果,可以以低得多的复杂度创建门级信息流模型,同时在对硬件设计的安全行为进行建模时获得明显更高的精度。我们使用Trust-HUB的AES-T1700基准来证明我们解决方案的有效性。实验结果表明,该方法可以检测并精确定位木马。

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